A case study in pharmacologic colon imaging using principal curves in single-photon emission computed tomography

Research output: Contribution to journalArticlepeer-review

Abstract

In this article we are concerned with functional imaging of the colon to assess the kinetics of microbicide lubricants. The overarching goal is to understand the distribution of the lubricants in the colon. Such information is crucial for understanding the potential impact of microbicides on human immunodeficiency virus transmission. The experiment was conducted by imaging a radiolabeled lubricant distributed in the subject's colon. The tracer imaging was conducted via single-photon emission computed tomography, a noninvasive, in vivo functional imaging technique. We have developed a novel principal curve algorithm to construct a three-dimensional curve through the colon images. The algorithm was tested and debugged on several difficult two-dimensional images of familiar curves where the original principal curve algorithm does not apply. The final curve fit to the colon data is compared with experimental sigmoidoscope collection.

Original languageEnglish (US)
Pages (from-to)1470-1480
Number of pages11
JournalJournal of the American Statistical Association
Volume103
Issue number484
DOIs
StatePublished - Dec 2008

Keywords

  • Curve fitting
  • Medical imaging
  • Pharmacology
  • SPECT.
  • Smoothing

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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